code: def visualize_aug(im, augment=rand_augment, num_trials=10, **kwargs):
      """Visualize augmentation by applying random augmentations."""
      w, h = im.size[0], im.size[1]
      output = Image.new("RGB", (w * num_trials, h * num_trials))
      for i in range(num_trials):
          for j in range(num_trials):
              output.paste(augment(im, **kwargs), (j * w, i * h))
      return output
  
file_path: pycls/pycls/datasets/augment.py
imports: import random
  import numpy
  from PIL import Image, ImageEnhance, ImageOps
label_desc: Use image node_id 7 for calling a global function with example usage: visualize_aug(im, augment, num_trials) and returns: output